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NEW QUESTION: 1
Ihr Unternehmen registriert einen Domainnamen von contoso.com.
Sie erstellen einen Azure-DNS mit dem Namen contoso.com und fügen der Zone einen A-Eintrag für einen Host mit dem Namen www mit der IP-Adresse 131.107.1.10 hinzu.
Sie stellen fest, dass Internet-Hosts www.contoso.com nicht in die IP-Adresse 131.107.1.10 auflösen können.
Sie müssen das Problem mit der Namensauflösung beheben.
Lösung: Sie ändern den SOA-Datensatz in der Zone contoso.com
Erfüllt dies das Ziel?
A. Ja
B. Nein
Answer: B
Explanation:
Erläuterung
Ändern Sie den NS-Datensatz, nicht den SOA-Datensatz.
Hinweis: Im SOA-Datensatz werden Informationen zum Namen des Servers gespeichert, der die Daten für die Zone bereitgestellt hat. der Administrator der Zone; die aktuelle Version der Datendatei; Die Anzahl der Sekunden, die ein sekundärer Nameserver warten soll, bevor er nach Updates sucht. Die Anzahl der Sekunden, die ein sekundärer Nameserver warten soll, bevor eine fehlgeschlagene Zonenübertragung wiederholt wird. Die maximale Anzahl von Sekunden, die ein sekundärer Nameserver Daten verwenden kann, bevor sie entweder aktualisiert werden oder ablaufen müssen. und eine Standardanzahl von Sekunden für die Restlaufzeitdatei in Ressourceneinträgen.
Referenzen: https://searchnetworking.techtarget.com/definition/start-of-authority-record

NEW QUESTION: 2
........... is an example of connectionless protocol
A. TCP
B. HTTP
C. FTP
D. UDP
Answer: D

NEW QUESTION: 3
You are designing a new Lambda architecture on Microsoft Azure.
The real-time processing layer must meet the following requirements:
Ingestion:
* Receive millions of events per second
* Act as a fully managed Platform-as-a-Service (PaaS) solution
* Integrate with Azure Functions
Stream processing:
* Process on a per-job basis
* Provide seamless connectivity with Azure services
* Use a SQL-based query language
Analytical data store:
* Act as a managed service
* Use a document store
* Provide data encryption at rest
You need to identify the correct technologies to build the Lambda architecture using minimal effort. Which technologies should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Azure Event Hubs
This portion of a streaming architecture is often referred to as stream buffering. Options include Azure Event Hubs, Azure IoT Hub, and Kafka.
Incorrect Answers: Not HDInsight Kafka
Azure Functions need a trigger defined in order to run. There is a limited set of supported trigger types, and Kafka is not one of them.
Box 2: Azure Stream Analytics
Azure Stream Analytics provides a managed stream processing service based on perpetually running SQL queries that operate on unbounded streams.
You can also use open source Apache streaming technologies like Storm and Spark Streaming in an HDInsight cluster.
Box 3: Azure SQL Data Warehouse
Azure SQL Data Warehouse provides a managed service for large-scale, cloud-based data warehousing. HDInsight supports Interactive Hive, HBase, and Spark SQL, which can also be used to serve data for analysis.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/